Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …

Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Background The recent release of large language models for public use, such as ChatGPT
and Google Bard, has opened up a multitude of potential benefits as well as challenges …

We tackle the task of semi-supervised video object segmentation, ie segmenting the pixels
belonging to an object in the video using the ground truth pixel mask for the first frame. We …

We have recently seen many successful applications of recurrent neural networks (RNNs)
on electronic medical records (EMRs), which contain histories of patients' diagnoses …

Several methods have been proposed to solve moving objects segmentation problem
accurately in different scenes. However, many of them lack the ability of handling various …

Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …

Foreground segmentation algorithms aim at segmenting moving objects from the
background in a robust way under various challenging scenarios. Encoder–decoder-type …

Moving object detection is a vital research area that plays an essential role in intelligent
transportation systems (ITSs) and various applications in computer vision. Recently …

Background subtraction is a basic task in computer vision and video processing often
applied as a pre-processing step for object tracking, people recognition, etc. Recently, a …